Jobs in the United States

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Added 9 mins ago
Lead Software Engineer: Full stack agentic IA
Capgemini
SALA AL JADIDA, MA
Added 9 mins ago
Lead Software Engineer: Expert Agentic AI & Code Graph
Capgemini
SALA AL JADIDA, MA
Added 9 mins ago
Lead Software Engineer/ Java Kafka
Capgemini
SALA AL JADIDA, MA
En tant que Software Engineer Lead Java / Angular / Kafka, vous interviendrez sur la conception et le développement de solutions performantes et évolutives au sein d’équipes Agile.
Added 53 mins ago
Jr. Software Test Engineer
deciBel Research, Inc.
Colorado Springs, CO
Added 53 mins ago
XE
Security Engineer - Application Security
Xcel Energy
Denver, CO
- $97,600 to $138,600 USD / year
The Security Engineer – Application Security is the technical SME responsible for running the AppSec program day to day with limited oversight. This role embeds security into the software…
Added 1 hour ago
R
Senior AI Engineer
Rearc
Remote, United States
- $191,000 to $209,000 USD / year
Rearc is seeking a hands-on AI Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. This position is focused on delivering real-world…
Added 2 hours ago
Senior Software Engineer
Dekker
Albuquerque, NM
Dekker is looking for experienced software engineers to join our growing team. A Senior Software Engineer designs, builds, and supports the applications, data pipelines, and AI-enabled…
Added 6 hours ago
Software Engineer (Hybrid)
Cisco
San Jose, CA
Added 6 hours ago
Software Engineer, Platform Infrastructure
Axiom
South San Francisco, CA
Added 6 hours ago
EU
AWS Application Engineer
Experis USA
Columbus, OH
- $75 USD / hour
Our client is seeking a highly skilled Full Stack AWS Engineer to join the AWS Application Framework team and support the development of a new commercial lines quoting platform. This role…
Added 6 hours ago
EG
Dev Lead
Eliassen Group
Pierre, SD
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 7 hours ago
Data Engineer, Scientific Data
Axiom
South San Francisco, CA
Added 7 hours ago
Engineer III- Technology
Edward Jones
Tempe, AZ
Added 7 hours ago
AE
Campus Graduate Masters Full-Time Manager - 2027 Data Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Data Engineer II in Enterprise Technology Services, you’ll join a full-time graduate…
Added 7 hours ago
AE
Campus Undergraduate Full-Time Analyst - 2027 Data Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Data Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 7 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
Added 7 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
Added 7 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 7 hours ago
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Sr Software Engineer II - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Added 7 hours ago
AE
Senior Infrastructure Engineer I
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Senior Infrastructure Engineer, building resilient platforms. Modernize enterprise infrastructure. Enable AI at scale.
Added 7 hours ago
C
Frontier Engineer
Cognizant
Phoenix, AZ
- $69,000 to $123,000 USD / year
As a Frontier Engineer, you will make an impact by designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will apply Generative AI tools across…
Added 7 hours ago
C
Frontier Engineer
Cognizant
Phoenix, AZ
- $69,000 to $123,000 USD / year
As a Frontier Engineer, you will make an impact by designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will apply Generative AI tools across…
Added 7 hours ago
C
Frontier Engineer
Cognizant
Phoenix, AZ
- $69,000 to $123,000 USD / year
As a Frontier Engineer, you will make an impact by designing and delivering next-generation, AI-enabled applications and cloud-native solutions. You will apply Generative AI tools across…
Added 7 hours ago
EG
Dev Lead
Eliassen Group
Phoenix, AZ
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 8 hours ago
EG
Dev Lead
Eliassen Group
Jackson, MS
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.

Axiom

Data Engineer, Scientific Data

South San Francisco, CA, United States

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Job details

Posting language: English
Posted: Nov 1, 2026

Original job description

Description:

Build the data systems that turn Axiom’s laboratory, chemistry, and clinical data into reliable foundations for drug discovery and scientific AI. Combine strong engineering with rigorous statistics to catch errors, deliver reproducible datasets, and power the models and agents that predict human drug outcomes.

About Axiom:

Axiom’s mission is to eliminate unexpected drug toxicity and unlock an abundance of ultra safe medicines. We are starting with the liver, where toxicity remains a leading cause of drug failure. Our high-throughput human liver safety platform combines advanced human cell systems with imaging, transcriptomics, mass spectrometry, and drug metabolism measurements. Our AI agents integrate these data with chemical structure, human exposure, and thousands of clinical reference compounds to predict whether a drug will be toxic in humans, why, and how to make it safer.

We work with seven of the world’s top twenty pharmaceutical companies to design safety into molecules from the earliest stages. This applied work feeds directly into our partnerships with leading frontier AI labs, turning real discovery challenges and experimental feedback loops into scientific skill trees and reinforcement learning environments that train increasingly superhuman scientists. We then deploy these frontier models to make cancer therapies safer, unlock treatments for chronic diseases that demand exceptional safety, revive promising drugs abandoned because of toxicity, and much more.

Our ultimate ambition is to build a superhuman AI agent that predicts how a drug will behave across all major human organ systems before the first patient receives it. With insanely accurate safety predictions, we aim to enable rapid, high-throughput testing of novel drugs in humans with zero risk of toxicity. This is the key to unlocking an abundance of ultra safe, effective medicines.

What you will do:

Build production-grade Python and SQL pipelines to ingest, process, validate, and serve high-content imaging, omics, mass spectrometry, and ADME data alongside chemical and clinical datasets.
Own the shared data infrastructure that powers Axiom’s experiments, models, and scientific agents, including orchestration, storage, compute, isolated development environments, and continuous integration.
Unify compound identities, sample histories, experimental metadata, and assay results across laboratories and sources, with reliable schemas, traceable transformations, and reproducible dataset versions.
Develop statistically rigorous quality controls to detect missing data, anomalies, batch effects, and distribution shifts across imaging fields, wells, plates, and experimental batches.
Build dashboards, monitoring, and alerts that help scientists identify experimental failures, diagnose pipeline issues, and act on data quality problems quickly.
Give scientists, ML researchers, and AI agents reliable access to experimental data through well-designed tables, APIs, and analysis tools.
Partner with laboratory and computational teams to investigate data and model failures, improve experimental workflows, and deliver validated datasets for modeling, evaluation, and agent training.

What we look for:

Exceptional data engineering skills, strong computer science fundamentals, and a track record of building reliable, scalable systems with clear, maintainable code.
Deep statistical understanding. You can explain a method’s assumptions, assess whether they hold, and recognize when its results are misleading.
A strong instinct for correctness. You notice when numbers do not make sense, trace problems to their source, and build safeguards that prevent them from recurring.
The ability to find meaningful signals in messy scientific data, choosing methods that fit the experimental design and distinguishing biological variation from technical artifacts.
End-to-end ownership. You take ambiguous problems from raw data through validated outputs and understand how your work affects scientific and business decisions.
Exceptional attention to detail and clear communication, with the ability to investigate problems alongside scientists, ML researchers, and engineers.
Curiosity about experimental biology, chemistry, and drug discovery, and a drive to turn that understanding into better data systems and more reliable scientific AI.

Technical skills we value:

Strong Python and SQL, scientific computing with NumPy and pandas, and analytical databases such as DuckDB or MotherDuck.
Cloud infrastructure and reproducible compute using tools such as Modal, AWS, Docker, and Terraform.
Data pipeline design, orchestration, schema design, automated validation, versioning, lineage, and observability.
Statistical inference and experimental design, including hypothesis testing, multiple-testing correction, variance decomposition, and hierarchical modeling.
Regression, classification, tree-based models, regularization, and cross-validation that respects experimental groups and batch structure.
Model evaluation, including ROC-AUC, PR-AUC, calibration, precision and recall, leakage prevention, and the limitations of different metrics.
Analysis and quality control of high-throughput screening, imaging, omics, mass spectrometry, and other high-dimensional scientific datasets.
Chemical identifier harmonization and integration of compound, sample, assay, and clinical metadata. Prior biology experience is helpful but not required.

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More about this job

Skills

Python
SQL
Mass spectrometry
CI/CD
ML
Data engineering
Computer science
Attention to detail
Communication skills
NumPy
pandas
AWS
Docker
IBM Terraform
Quality control

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